基于多目标智能优化的转子全息动平衡方法

Rotor is a key part of rotating machinery，and the high amplitude vibration of the rotor system caused by unbalance often occurs. Therefore， achieving efficient and accurate dynamic balancing of rotors is an important task of healthy monitoring and maintenance. There are some shortages in traditional optimization algorithms for dynamic balancing，such as the vibration information obtained by a single sensor cannot reflect the overall vibration of the system and the singleness of optimization objectives of balancing，this paper investigates holo-balancing of flexible rotors based on multi-objective intelligent optimization. Based on the comprehensive capacity of information extraction in holospectrum， three targets，the average value，the maximum value and the extreme difference of residual vibration were selected to measure the balancing state of the unit. The optimal evaluation function of multiple targets was introduced to solve the coordination problems of above three optimal targets. In terms of optimization algorithm，an improved differential search algorithm was proposed to improve the efficiency and accuracy of dynamic balancing. Relevant balancing experiments show that the vibration reduction ratio of this method is as high as 85. 3%，which further verifies the reliability and practical value of the proposed method.